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检索条件"机构=Intelligent Distributed Computing and Systems Research Laboratory"
591 条 记 录,以下是31-40 订阅
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A multidisciplinary approach to prevent student anxiety: a Toolkit for educators
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Procedia Computer Science 2025年 256卷 852-860页
作者: Alberto Freitas Bruno Costa Diogo Martinho Fatima Pais Ivone Duarte Constantino Martins Goreti Marreiros Rute Almeida MEDCIDS Faculty of Medicine University of Porto Porto 4200-450 Portugal CINTESIS@RISE University of Porto Porto 4200-450 Portugal Centro Hospitalar Universitário São João 4200-319 Porto GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Institute of Engineering – Polytechnic of Porto Porto 4249-015 Portugal & LASI – Intelligent Systems Associate Laboratory Guimarães 4800-058 Portugal Sucessos Criativos Lda São João da Madeira 3700-121 Portugal
The project WAI aims to tackle the growth of mental health disorders among the younger population, namely the most prevalent anxiety disorders. It intends to enhance educational strategies to help schools, teachers, a... 详细信息
来源: 评论
COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database
arXiv
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arXiv 2025年
作者: Hu, Yan Gong, Mingdao Qiu, Zhongxi Liu, Jiabao Shen, Hongli Yuan, Mingzhen Zhang, Xiaoqing Li, Heng Lu, Hai Liu, Jiang Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Beijing Tongren Eye Center Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology and Visual Sciences Key Laboratory Beijing China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China
Retinal image registration is vital for diagnostic therapeutic applications within the field of ophthalmology. Existing public datasets, focusing on adult retinal pathologies with high-quality images, have limited num... 详细信息
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Uncertainty-aware Superpoint Graph Transformer for Weakly Supervised 3D Semantic Segmentation
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IEEE Transactions on Fuzzy systems 2025年
作者: Fan, Yan Wang, Yu Zhu, Pengfei Hui, Le Xie, Jin Hu, Qinghua Tianjin University College of Intelligence and Computing Tianjin300350 China Ministry of Education of the People's Republic of China Engineering Research Center of City Intelligence and Digital Governance China Haihe Laboratory of Itai Tianjin China Northwestern Polytechnical University School of Electronics and Information Shaanxi Key Laboratory of Information Acquisition and Processing China Nanjing University of Science and Technology Pca Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education China Nanjing University State Key Laboratory for Novel Software Technology Nanjing China
Weakly supervised 3D semantic segmentation has successfully mitigated the labor-intensive and time-consuming task of annotating 3D point clouds. However, reliably utilizing the minimal point-wise annotations for unlab... 详细信息
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MLFuse: Multi-Scenario Feature Joint Learning for Multi-Modality Image Fusion
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IEEE Transactions on Multimedia 2025年
作者: Lei, Jia Li, Jiawei Liu, Jinyuan Wang, Bin Zhou, Shihua Zhang, Qiang Wei, Xiaopeng Kasabov, Nikola K. Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China Dalian University of Technology School of Mechanical Engineering Dalian116024 China Dalian University of Technology School of Computer Science and Technology Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1010 New Zealand Ulster University Intelligent Systems Research Center LondonderryBT52 1SA United Kingdom
Multi-modality image fusion (MMIF) entails synthesizing images with detailed textures and prominent objects. Existing methods tend to use general feature extraction to handle different fusion tasks. However, these met... 详细信息
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Physical mechanisms and integration design of memristors
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Materials Today Nano 2025年 30卷
作者: Wang, Mengna Wang, Kun Sun, Bai Zhou, Guangdong Cao, Zelin Gao, Kaikai Ren, Fenggang Chen, Xiaoliang Li, Xiangming Shao, Jinyou Frontier Institute of Science and Technology and Interdisciplinary Research Center of Frontier Science and Technology Xi'an Jiaotong University Shaanxi Xi'an710049 China Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China College of Artificial Intelligence Brain-inspired Computing & Intelligent Control of Chongqing Key Lab Southwest University Chongqing400715 China National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine The First Affiliated Hospital of Xi'an Jiaotong University Shaanxi Xi'an710049 China
Memristors with threshold transition behavior and rich dynamics are ideal candidates for simulating biological pulse neurons and constructing efficient neuromorphic systems. Based on changes in material structure, cha... 详细信息
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TLSTMF-YOLO: Transfer Learning and Feature Fusion Network for Earthquake-Induced Landslide Detection in Remote Sensing Images
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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷
作者: Meng, Shaoqiang Shi, Zhenming Pirasteh, Saied Liberata Ullo, Silvia Peng, Ming Zhou, Changshi Nunes Goncalves, Wesley Zhang, Limin Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Key Laboratory of Geotechnical and Underground Engineering Ministry of Education Shanghai200092 China Institute of Artificial Intelligence Shaoxing University Zhejiang Shaoxing312000 China Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Geotechnics and Geomatics Tamil Nadu Chennai600 077 India University of Sannio Department of Engineering Benevento82100 Italy Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Shanghai200092 China Federal University of Mato Grosso do Sul Faculty of Computing Campo Grande79070-900 Brazil The Hong Kong University of Science and Technology Department of Civil and Environmental Engineering Hong Kong Hong Kong
Detecting earthquake-induced landslides in remote sensing images is challenging due to the varying sizes of landslides, uneven distribution, and the prevalence of small targets. This study proposes a novel approach, t... 详细信息
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Dot-base62x: A compact textual representation of IPv6 address for clouds
Dot-base62x: A compact textual representation of IPv6 addres...
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4th IEEE/ACM International Conference on Cloud and Utility computing, UCC 2011
作者: Liu, Zhenxing Liu, Lu Hardy, James Anjum, Ashiq Hill, Richard Antonopoulos, Nick Distributed and Intelligent Systems Research Group School of Computing and Mathematics University of Derby Derbyshire United Kingdom
Cloud computing has dramatically reshaped the whole IT industry in recent years. With the transition from IPv4 to IPv6, services running in Cloud computing will face problems associated with IPv6 addressing: the notat... 详细信息
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Optimizing ranking method using social annotations based on language model
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Artificial Intelligence Review 2014年 第1期41卷 81-96页
作者: Wen, Kunmei Li, Ruixuan Xia, Jing Gu, Xiwu Intelligent and Distributed Computing laboratory of theHuaZhong University of Science and Technology WuHan China 709th Research Institute China Shipbuilding Industry Corporation WuHan China
Recent research has shown that more and more web users utilize social annotations to manage and organize their interested resources. Therefore, with the growing popularity of social annotations, it is becoming more an... 详细信息
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Design and implementation of communication system of the Dawning 6000 supercomputer
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中国计算机科学前沿 2010年 第4期4卷 466-474页
作者: Qiang LI Bo LI Zhigang HUO Ninghui SUN National Research Center for Intelligent Computing Systems Beijing 100190China Key Laboratory of Computer System and Architecture Chinese Academy of SciencesBeijing 100190China Graduate University of Chinese Academy of Sciences Beijing 100190China National Research Center for Intelligent Computing Systems Beijing 100190China Key Laboratory of Computer System and Architecture Chinese Academy of SciencesBeijing 100190China
An increasing number of supercomputers adopt a heterogeneous architecture, consisting of both general purpose CPUs and specialized accelerators. Such design is beneficial for scalability and power, but on the other ha... 详细信息
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PEAK: Python-based framework for heterogeneous agent communities
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SoftwareX 2025年 30卷
作者: Bruno Ribeiro David Dias Luis Gomes Zita Vale GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI - Intelligent Systems Associate Laboratory Polytechnic of Porto Rua Dr. António Bernardino de Almeida 431 4249-015 Porto Portugal
Python-based framework for heterogeneous agent communities (PEAK) is a multi-agent system development framework aiming at facilitating the interoperability of agents from different environments and their interactions ... 详细信息
来源: 评论